MITA-119 · Data Analysis · Assignment
Duplicate Record Finder
Detects duplicate rows and candidate duplicate records.
Suggested stack: Python / Pandas
What you will build
Build Duplicate Record Finder to solve the stated problem.
Detects duplicate rows and candidate duplicate records.
Explain the decisions and your personal contribution.
Detects duplicate rows and candidate duplicate records.
Explain the decisions and your personal contribution.
Requirements
Include a reproducible analysis, clearly defined metrics, dataset provenance, cleaning decisions and a concise explanation of the findings.
Use the suggested stack as guidance: Python / Pandas.
Process user data locally where practical; disclose any network transfer.
Use ordinary, edge-case and invalid inputs to test the core behaviour.
Do not include credentials, confidential records or unlicensed assets.
Use the suggested stack as guidance: Python / Pandas.
Process user data locally where practical; disclose any network transfer.
Use ordinary, edge-case and invalid inputs to test the core behaviour.
Do not include credentials, confidential records or unlicensed assets.
What to submit
GitHub repository or a clean source ZIP.
README with setup, testing and deployment instructions.
A short case study: problem, approach, features, contribution and results.
Desktop and mobile screenshots or a suitable prototype/demo.
Creator credits linking to the accepted team members’ Mita profiles.
README with setup, testing and deployment instructions.
A short case study: problem, approach, features, contribution and results.
Desktop and mobile screenshots or a suitable prototype/demo.
Creator credits linking to the accepted team members’ Mita profiles.
How Mita School will review it
The stated core function works with the supplied test cases.
Invalid input has clear, safe error handling.
The project can be reproduced from the README.
Relevant screens work on desktop and mobile and with keyboard controls.
Claims, privacy notices and creator credits match the implementation.
Mita School reviews the project and checks deployment before publication.
Invalid input has clear, safe error handling.
The project can be reproduced from the README.
Relevant screens work on desktop and mobile and with keyboard controls.
Claims, privacy notices and creator credits match the implementation.
Mita School reviews the project and checks deployment before publication.
Build instructions & prompt
Download this brief to keep the scope, requirements and build prompt together. Mita School may update the instructions as the project develops.
Download project brief (.md)